Modeling RNA structures using physics and sequence data
RNA Structure Modeling Using Physics and Sequence Comparison
This study is working on new computer tools to help scientists predict how RNA molecules are shaped, which is important for understanding their roles in health and disease, and the best part is that these tools will be available for everyone to use!
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project ID | NIH-10932886 on NIH RePORTER |
What this research studies
This research focuses on developing algorithms and software to model RNA structures, which are crucial for understanding their biological functions and pharmaceutical applications. By utilizing biophysical principles and incorporating experimental data, the team aims to create accurate predictions of RNA secondary and tertiary structures. This work is significant as it enhances the ability to analyze RNA sequences and their roles in various diseases, potentially leading to better therapeutic strategies. The software developed will be made freely available to the scientific community, promoting collaboration and further research.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include individuals with genetic disorders or infectious diseases linked to RNA dysfunction.
Not a fit: Patients with conditions unrelated to RNA or those not affected by genetic or infectious diseases may not receive benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding and treatment of diseases related to RNA molecules.
How similar studies have performed: Previous research has shown success in RNA structure modeling, indicating that this approach has potential for significant advancements.
Where this research is happening
Rochester, United States
- University of Rochester — Rochester, United States (Active)
Researchers
- Principal investigator: Mathews, David H. — University of Rochester
- Study coordinator: Mathews, David H.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.